Triple

T13207719
Position Surface form Disambiguated ID Type / Status
Subject Sarapul E314407 entity
Predicate roadNetworkConnectsTo P11435 FINISHED
Object Perm E129564 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Perm | Statement: [Sarapul, roadNetworkConnectsTo, Perm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perm
Context triple: [Sarapul, roadNetworkConnectsTo, Perm]
  • A. Perm chosen
    Perm is a major industrial and cultural city in the Ural region of Russia, situated on the Kama River and historically significant as a gateway between European and Asian Russia.
  • B. Permet
    Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
  • C. PERMIS
    PERMIS is the Permanent International Secretariat of the Black Sea Economic Cooperation (BSEC), serving as its main administrative and coordinating body.
  • D. Per
    Per is a Scandinavian masculine given name, commonly used in Norway, Sweden, and Denmark as a form of Peter.
  • E. Perm lands
    Perm lands were a historical region in northeastern European Russia inhabited by Finno-Ugric peoples and later incorporated into the expanding Russian state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.